Down regulation of prothrombinase by activated protein C during prothrombin activation
Bibliographic record
Abstract
Activated protein C (aPC) proteolytically inactivates factor Va (FVa) and thereby downregulates prothrombinase. Although FVa inactivation by aPC has been studied extensively, the inactivation of prothrombinase during prothrombin activation has not. Therefore, prothrombin activation initiated both without and with aPC (5.0, 7.5 or 10.0 nM) was monitored over time by fluorescence. The experiments were performed with 0.075 nM FVa and 1.0 nM FXa, and with these concentrations reversed. The time courses of the residual prothrombinase activity with aPC, determined from the slopes of fluorescence over time, were pseudo first order with both limiting and excess FVa. With FVa limiting or in excess, the second rate constants for inactivation of prothrombinase were 1.98 +/- 0.09 x 10(5) M(-1)s(-1) and 2.54 +/- 0.13 x 10(5) M(-1)s(-1), respectively. The former value is 101-fold smaller than that for FVa inactivation by aPC alone. Since with limiting FVa the second order rate constants for prothrombinase inactivation and FVa inactivation are equal, FVa is protected 101-fold, presumably by both FXa and prothrombin. In contrast, with excess FVa, the calculated rate constant for FVa inactivation exceeds that for prothrombinase inactivation 17.3-fold, which reflects a loss of protection by FXa. Since the protective effects of the two proteins are theoretically multiplicative, FXa protected 17.3-fold and prothrombin protected 5.8-fold. With 150 nM protein S and limiting FVa, prothrombinase inactivation was two-fold faster, yet it was still protected 91-fold. These studies show that FVa is down-regulated by aPC during prothrombin activation, but both FXa and prothrombin protect FVa in a multiplicative way, with or without protein S.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".